Picture for Julia Moosbauer

Julia Moosbauer

Position: A Call to Action for a Human-Centered AutoML Paradigm

Add code
Jun 05, 2024
Viaarxiv icon

Position Paper: Bridging the Gap Between Machine Learning and Sensitivity Analysis

Add code
Dec 20, 2023
Viaarxiv icon

RAISE -- Radiology AI Safety, an End-to-end lifecycle approach

Add code
Nov 24, 2023
Viaarxiv icon

Multi-Objective Hyperparameter Optimization -- An Overview

Add code
Jun 15, 2022
Figure 1 for Multi-Objective Hyperparameter Optimization -- An Overview
Figure 2 for Multi-Objective Hyperparameter Optimization -- An Overview
Figure 3 for Multi-Objective Hyperparameter Optimization -- An Overview
Figure 4 for Multi-Objective Hyperparameter Optimization -- An Overview
Viaarxiv icon

Enhancing Explainability of Hyperparameter Optimization via Bayesian Algorithm Execution

Add code
Jun 11, 2022
Figure 1 for Enhancing Explainability of Hyperparameter Optimization via Bayesian Algorithm Execution
Figure 2 for Enhancing Explainability of Hyperparameter Optimization via Bayesian Algorithm Execution
Figure 3 for Enhancing Explainability of Hyperparameter Optimization via Bayesian Algorithm Execution
Figure 4 for Enhancing Explainability of Hyperparameter Optimization via Bayesian Algorithm Execution
Viaarxiv icon

Automated Benchmark-Driven Design and Explanation of Hyperparameter Optimizers

Add code
Nov 29, 2021
Figure 1 for Automated Benchmark-Driven Design and Explanation of Hyperparameter Optimizers
Figure 2 for Automated Benchmark-Driven Design and Explanation of Hyperparameter Optimizers
Figure 3 for Automated Benchmark-Driven Design and Explanation of Hyperparameter Optimizers
Figure 4 for Automated Benchmark-Driven Design and Explanation of Hyperparameter Optimizers
Viaarxiv icon

Explaining Hyperparameter Optimization via Partial Dependence Plots

Add code
Nov 08, 2021
Figure 1 for Explaining Hyperparameter Optimization via Partial Dependence Plots
Figure 2 for Explaining Hyperparameter Optimization via Partial Dependence Plots
Figure 3 for Explaining Hyperparameter Optimization via Partial Dependence Plots
Figure 4 for Explaining Hyperparameter Optimization via Partial Dependence Plots
Viaarxiv icon

YAHPO Gym -- Design Criteria and a new Multifidelity Benchmark for Hyperparameter Optimization

Add code
Sep 08, 2021
Figure 1 for YAHPO Gym -- Design Criteria and a new Multifidelity Benchmark for Hyperparameter Optimization
Figure 2 for YAHPO Gym -- Design Criteria and a new Multifidelity Benchmark for Hyperparameter Optimization
Figure 3 for YAHPO Gym -- Design Criteria and a new Multifidelity Benchmark for Hyperparameter Optimization
Figure 4 for YAHPO Gym -- Design Criteria and a new Multifidelity Benchmark for Hyperparameter Optimization
Viaarxiv icon

Train, Learn, Expand, Repeat

Add code
Apr 19, 2020
Figure 1 for Train, Learn, Expand, Repeat
Figure 2 for Train, Learn, Expand, Repeat
Figure 3 for Train, Learn, Expand, Repeat
Figure 4 for Train, Learn, Expand, Repeat
Viaarxiv icon

Multi-Objective Hyperparameter Tuning and Feature Selection using Filter Ensembles

Add code
Feb 13, 2020
Figure 1 for Multi-Objective Hyperparameter Tuning and Feature Selection using Filter Ensembles
Figure 2 for Multi-Objective Hyperparameter Tuning and Feature Selection using Filter Ensembles
Figure 3 for Multi-Objective Hyperparameter Tuning and Feature Selection using Filter Ensembles
Figure 4 for Multi-Objective Hyperparameter Tuning and Feature Selection using Filter Ensembles
Viaarxiv icon